In this paper, we propose a Joint Collaborative Autoencoder framework that learns both user-
user and item-item correlations simultaneously, leading to a more robust model and …

This two-volume set LNCS 10954 and LNCS 10955 constitutes-in conjunction with the
volume LNAI 10956-the refereed proceedings of the 14th International Conference on …

Increasing number of internet users today, the use of e-commerce becomes a very vital
need. One of the keys that holds the success of the e-commerce system is the …

Abstract The coronavirus disease-19 (COVID-19) pandemic has spread to various countries
including Indonesia. Thus, implementing large-scale social restrictions (Bahasa …

The growth of the number of e-commerce users and the items being sold become both
opportunities and challenges for e-commerce marketplaces. As the existence of the long-tail …

Recommender system is one of the strategies carried out by e-commerce to increase their
users' satisfaction. In this paper, we implement sequence pattern mining for recommender …

Electronic commerce has been growing gradually over the last decade as a new driver of
the retail industry. In fact, the growth of e-Commerce has caused a significant rise in the …

The e-commerce recommendation system has experienced tremendous progress and has
caused an explosion of information, making it difficult for users to choose items that fit their …

Today, the Internet has become a source of information and a place to sell goods online
(ecommerce)[1]. The abundance of information on the Internet causes users to have difficulty …

Saat ini, dalam kehidupan kita tidak terlepas dari penggunaan teknologi informasi, terutama
teknologi Internet. Teknologi Internet telah mengubah pola dan kebiasaan hidup manusia …